Conditional random field-based offline map matching for indoor environments

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dc.contributor.authorBataineh, Safaa Ahmed Hijris
dc.contributor.authorBahillo, Alfonso
dc.contributor.authorDíez Blanco, Luis Enrique
dc.contributor.authorOnieva Caracuel, Enrique
dc.contributor.authorBataineh, Ikram
dc.date.accessioned2026-03-17T15:03:01Z
dc.date.available2026-03-17T15:03:01Z
dc.date.issued2016-08-16
dc.date.updated2026-03-17T15:03:01Z
dc.description.abstractIn this paper, we present an offline map matching technique designed for indoor localization systems based on conditional random fields (CRF). The proposed algorithm can refine the results of existing indoor localization systems and match them with the map, using loose coupling between the existing localization system and the proposed map matching technique. The purpose of this research is to investigate the efficiency of using the CRF technique in offline map matching problems for different scenarios and parameters. The algorithm was applied to several real and simulated trajectories of different lengths. The results were then refined and matched with the map using the CRF algorithm.en
dc.description.sponsorshipThis work was supported by the Spanish Ministry of Economy and Competitiveness as part of the ESPHIA project (TIN2014-56042-JIN), as well as by the Erasmus Mundus Avempace II project (2012-2622/001-001-EMA2)en
dc.identifier.citationBataineh, S., Bahillo, A., Díez, L. E., Onieva, E., & Bataineh, I. (2016). Conditional random field-based offline map matching for indoor environments. Sensors (Switzerland), 16(8). https://doi.org/10.3390/S16081302
dc.identifier.doi10.3390/S16081302
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/20.500.14454/5490
dc.language.isoeng
dc.publisherMDPI AG
dc.rights© 2016 by the authors
dc.subject.otherConditional random fields
dc.subject.otherIndoor localization
dc.subject.otherIndoor positioning
dc.subject.otherInertial sensors
dc.subject.otherMap modelling
dc.subject.otherMobility of pedestrians
dc.subject.otherNavigation systems
dc.subject.otherOffline map matching
dc.titleConditional random field-based offline map matching for indoor environmentsen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue8
oaire.citation.titleSensors (Switzerland)
oaire.citation.volume16
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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